{"id":"W1582487684","doi":"10.1109/icmcis.2015.7158713","title":"Secure and efficient routing by Leveraging Situational Awareness Messages in tactical edge networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer network; Computer science; Routing protocol; Multicast; Wireless ad hoc network; Distributed computing; Destination-Sequenced Distance Vector routing; Policy-based routing; Dynamic Source Routing; Routing (electronic design automation); Wireless; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007654839,0.0001381905,0.0001597821,0.00005145293,0.0000848926,0.0002108345,0.0003514814,0.00008764531,0.0000126821],"category_scores_gemma":[0.00006032098,0.0001257903,0.00001983002,0.0003458608,0.00003913006,0.0002740043,0.0003974565,0.0002350015,0.00000582937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008338937,"about_ca_system_score_gemma":0.00009668151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000723675,"about_ca_topic_score_gemma":0.00003163672,"domain_scores_codex":[0.9985533,0.0001064066,0.0002268082,0.000438345,0.0003164633,0.0003586959],"domain_scores_gemma":[0.9992321,0.0002110946,0.00005400626,0.0002571798,0.00006911343,0.0001765063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001662028,0.0002154364,0.04681271,0.00001212246,0.00002121461,0.00005875493,0.002703802,0.7758332,0.00004637718,0.1183915,0.02358855,0.03229966],"study_design_scores_gemma":[0.0004334313,0.000017115,0.003021152,0.00002208475,0.000002192401,0.00001699949,0.00008530193,0.9950235,0.00004839783,0.0005234787,0.0006425804,0.0001637679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07656734,0.0003792715,0.919946,0.0009025407,0.0002905066,0.0001325527,5.016429e-7,0.00009389661,0.001687382],"genre_scores_gemma":[0.9930255,0.000005005532,0.006377453,0.0003319134,0.0001039726,0.00001554003,0.000006191236,0.000008287621,0.0001261296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9164582,"threshold_uncertainty_score":0.512958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02258413802930437,"score_gpt":0.2593473457023193,"score_spread":0.2367632076730149,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}